This is a video outfit-swapping workflow. It's designed to do two main things: first, it can change the clothes on a character in an existing video. Second, it can take a character from a reference image, use a reference video to animate them, and then change their outfit. So, it can swap outfits for characters from a video or an image. For important details, please see the testing and usage instructions below.<span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">💻I've already set up an <span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">➡️ <a rel="ugc" href="https://www.runninghub.ai/ai-detail/1977367587476643842/?inviteCode=rh-v1182">AI application</a> for you to change the outfit on a video character so you can quickly try out the effect. I've also prepared the complete <span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">➡️ <a rel="ugc" href="https://www.runninghub.ai/post/1977300117223022593/?inviteCode=rh-v1182">workflow</a> so you can experiment with many different results.<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">🎁Bonus: If you're signing up for the first time, you can get <span style="background-color:rgb(26, 27, 30);color:rgb(250, 176, 5);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">1,000 free RH Coins<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px"> by using my link and the invite code ➡️<span style="background-color:rgb(26, 27, 30);color:rgb(250, 176, 5);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">rh-v1182<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">. Plus, you'll get another <span style="background-color:rgb(26, 27, 30);color:rgb(250, 176, 5);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">100 RH Coins<span style="background-color:rgb(26, 27, 30);color:rgb(193, 194, 197);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px"> for logging in daily.<span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">🚀Testing and Usage Instructions: 1. The main model used this time is Wan2.2-Animate-14B_fp8_scaled_e4m3fn_KJ_v2, which has better performance in video stability and motion coherence. 2. For the character's clothing mask, I used the Comfyui-SecNodes node. It uses video object segmentation technology, which gives it higher segmentation accuracy and better object tracking than sam2.1. The specific download link is in the workflow's notes. I've tested it with several different types of videos and found that it can sometimes fail to accurately capture the mask in videos with high-frequency, continuous motion, but this doesn't happen often. It's still more than capable of handling most video segmentation tasks. 3. For other detailed instructions, please see the notes inside the workflow.

Files with SHA256: 422abf75f48a18eb8b5d2d5e9d8b521acbf0dd239b6d5c407b881d73df6e7119